Nvidia’s AI Chips Are Making Liquid Cooling the New Standard as Cisco Expands Its AI Bet : US Pioneer Global VC DIFCHQ SFO NYC Singapore – Riyadh Swiss Our Mind

Nvidia Corp‘s next AI breakthrough may not be inside its chips—it could be in how they’re cooled. Cisco Systems, Inc‘s latest expansion of its AI infrastructure partnership with Nvidia highlights a growing industry shift toward liquid cooling. It reinforces forecasts that the technology is rapidly becoming the new standard for powering increasingly dense AI data centers.

Cisco’s Latest Nvidia Bet Highlights a Bigger AI Infrastructure Shift

Cisco on Tuesday expanded its Secure AI Factory with Nvidia through a partnership with Super Micro Computer, Inc., adding high-density liquid- and air-cooled GPU systems to its AI infrastructure portfolio.

The offering includes rack-to-fabric liquid cooling, pairing Cisco’s liquid-cooled networking systems with Supermicro’s liquid-cooled servers to support Nvidia’s next-generation Vera Rubin NVL72 and HGX Rubin NVL8 platforms.

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Cisco framed the move as a response to the changing economics of AI infrastructure.

“Power and cooling dictate where infrastructure can be built,” the company said, adding that the next generation of AI infrastructure must deliver not only compute but also architectures capable of running efficiently at scale.

The announcement reflects a broader trend across the AI ecosystem. As GPU clusters become more powerful, managing heat is emerging as one of the industry’s biggest engineering challenges.

Liquid Cooling Is Moving From Optional to Essential

That shift is already showing up in industry forecasts.

Market research firm TrendForce expects liquid cooling penetration among AI chips to rise from 33% in 2025 to 53% in 2026, before reaching 60% in 2027. The firm attributes the rapid adoption to increasingly power-hungry processors from Nvidia, Advanced Micro Devices, Inc. and Alphabet Inc‘s Google, whose higher thermal requirements are pushing traditional air-cooling systems to their practical limits.

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Rather than simply installing more GPUs, AI infrastructure providers are increasingly redesigning entire racks around cooling, networking and power delivery. Cisco’s latest announcement illustrates that evolution, with liquid cooling integrated into a full-stack AI infrastructure offering rather than treated as a standalone feature.

Investment Takeaway

For investors, the AI infrastructure story is expanding beyond semiconductors.

Nvidia’s increasingly powerful AI platforms are driving demand not only for GPUs but also for the networking, power management and cooling technologies needed to operate them efficiently.

Cisco’s latest move suggests liquid cooling is no longer a niche capability reserved for specialized deployments—it is becoming a foundational part of next-generation AI data centers, creating new opportunities across the broader AI infrastructure supply chain.

Photo: JRdes / Shutterstock

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